Large Language Models work by predicting the next word in a sequence using conditional probability. They calculate probabilities for each possible next word given the previous context, then select the most likely candidate. To avoid repetitive outputs, LLMs use temperature sampling which adjusts the probability distribution -
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Make Claude Code 10x more powerful!How do LLMs work?P.S. For those wanting to develop “Industry ML” expertise:Sort: